近期,临港实验室/华东师范大学李洪林教授、李诗良教授与上海科技大学白芳教授受邀在《National Science Review》上发表了题为"AI Enhances Drug Discovery and Development"的展望和评论文章,分别从基于靶标的药物发现、基于表型的药物发现、生物大分子的动态结构预测、药物研发自动化及药物临床研究这五个药物研发方法或阶段...
In clinical trials, AI optimizes patient recruitment, enhances trial design, and expedites data analysis, leading to more efficient and cost-effective drug development. While the adoption of AI presents unprecedented opportunities, challenges such as data security, interpretability, and ethical ...
1. Drug Discovery and Development AI accelerates drug discovery by analyzing complex datasets to identify potential compounds. For example, ML algorithms predict molecule behavior, reducing the time and cost associated with traditional methods. 2. Personalized Medicine Through patient data analysis, AI en...
Drug Discovery and Development: AI can also accelerate drug discovery by analysing biological data and predicting how different compounds will interact with targets. This speeds up the development of new medications and therapies, bringing innovative treatments to market faster (Paul et al., 2021). ...
This not only enhances patient care but also alleviates the workload on healthcare professionals, allowing them to focus on more complex cases and patient interactions. Drug Discovery and Development The process of developing new drugs is notoriously time-consuming, expensive, and fraught with ...
AI plays a crucial role in expediting the drug discovery and development process, reducing the time and costs associated with bringing new treatments to market. Compound screening AI algorithms can analyze vast chemical libraries to identify potential drug candidates with the highest likelihood of succes...
AI plays an increasingly integral role in accelerating drug discovery and development, from optimizing trial protocols and patient recruitment to enhancing data analysis and safety monitoring. With AI’s capacity to drive precision medicine, identify novel therapies, and simulate trial strategies, it prom...
Drug discovery and development. Medical image analysis for more accurate diagnoses (e.g., identifying tumors in radiology images). Monitoring patient health through wearable technology. Finance: Algorithmic trading and stock market analysis. Fraud detection and prevention. ...
For example, AI algorithms can analyze medical images and detect abnormalities with high accuracy, helping doctors identify diseases such as cancer at an early stage. In addition, AI can support drug discovery and development processes, leading to the creation of new treatments and therapies for ...